jq
fx
jello
fzf
HTTPie
Emuto
Bat
Konbert
Google BigQuery
Databricks
Looker
Jupyter
Presto DB
Google Cloud Dataflow
Amazon EMR
Rakam
jq Google BigQueryBased on our record, jq should be more popular than Google BigQuery. It has been mentiond 155 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'd you're trying to bring this to a wider audience not already familiar with q, then the name collision with the more widely known jq project is a problem: https://stedolan.github.io/jq/. - Source: Hacker News / 5 months ago
First, we need to install jq via the installer available at https://stedolan.github.io/jq/. - Source: dev.to / 6 months ago
JQ is a lightweight and powerful command-line JSON processor. It's a time-saving tool for manipulating and extracting data from JSON files effortlessly. - Source: dev.to / 8 months ago
If you have jq installed you can use it to make the output look nicer. - Source: dev.to / about 1 year ago
It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks. - Source: dev.to / about 1 year ago
Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 9 months ago
Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 9 months ago
Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 10 months ago
You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 11 months ago
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 11 months ago
fx - Command-line JSON processing tool
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
jello - jello is a command line tool that filters JSON data using pure python syntax.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
fzf - A command-line fuzzy finder written in Go
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
